diagOptThresh-class: An S4 class to describe the optimal threshold of a diagnostic...

In optimalThreshold: Bayesian Methods for Optimal Threshold Estimation

Description

An S4 class to describe the optimal threshold of a diagnostic marker.

Details

You never have to create this class manually. This class is created internally when the diagThresh function is used.

Slots

optThresh

This slot is an object that takes in argument the sampled optimal threshold values. Numeric argument.

p

Prevalence specified by the user. Numeric argument.

r

Risk threshold preference. Numeric argument.

N

Sample size.

xEvt

This slot is an object that takes in argument the marker values in the subgroup of patients that developed the event. Numeric argument.

xNoEvt

This slot is an object that takes in argument the marker values in the subgroup of patients that did not develop the event. Numeric argument.

lowEvt

This slot is a logical argument that specifies whether the low values of the marker are associated with the presence of the disease or not.

mcmcChainEvt

This slot is an object that takes in argument the sampled distribution objects in the subgroup of patients that developed the event. list argument.

mcmcChainNoEvt

This slot is an object that takes in argument the sampled distribution objects in the subgroup of patients that did not develop the event. list argument.

tabMCMCChain

This slot is an object that takes in argument all the distribution parameters that were sampled using the MCMC algorithm. mcmc.listOrNull argument.

paraNamesUserDefined

This slot is an object that takes in argument the list of the distribution parameter names defined by the user in a 'fitUserDefinedDist' object. list argument.

cdfUserDefined

This slot is an object that takes in argument the list of cumulative distribution functions defined by the user in 'fitUserDefinedDist' objects. list argument.

gradientUserDefined

This slot is an object that takes in argument the list of gradient functions defined by the user in 'fitUserDefinedDist' objects. list argument.

hessianUserDefined

This slot is an object that takes in argument the list of hessian functions defined by the user in 'fitUserDefinedDist' objects. list argument.

percentNA

This slot is a numeric object that indicates the percentage of NA values contained in the 'optThresh' slot.

See Also

diagThresh for more details on how to estimate the optimal threshold of a diagnostic marker.

optimalThreshold documentation built on Jan. 13, 2020, 5:06 p.m.